Objectives and competences
Student will:
• acquired in-depth knowledge of the fundamental concepts and methods of artificial intelligence, as well as typical examples of its application in patient care and self-care;
• is able to critically assess the quality of data and the performance of artificial intelligence models (accuracy, sensitivity, specificity, AUC) used in patient care and self-care;
• is capable of independently designing user-centered solutions that take into account health literacy, inclusion, and accessibility;
• is able to evaluate the risks and safety of artificial intelligence solutions (clinical safety, cybersecurity, change management);
• acquired in-depth knowledge of legal, security, and ethical frameworks (e.g., personal data protection, traceability, transparency, accountability).
Content (Syllabus outline)
• Fundamental concepts of artificial intelligence and its historical development
• Examples of the use of artificial intelligence in the care and self-care of patients
• Evaluation and interpretation of artificial intelligence models in the care and self-care of patients
• Design of user-centered artificial intelligence solutions in the care and self-care of patients
• Legal, ethical, and security aspects of using artificial intelligence in healthcare
Intended learning outcomes - knowledge and understanding
Students will be able:
• define the fundamental concepts of using artificial intelligence (ML, DL, NLP/LLM) and explain their role in patient care and self-care, as well as the risks associated with their use in clinical environments;
• compare and justify the selection of methods/algorithms suitable for patient care and self-care;
• explain the principles of designing artificial intelligence solutions for patient care and self-care;
• describe the legal and ethical requirements for the use of artificial intelligence in healthcare (GDPR, DPIA, transparency, accountability);
• summarize the principles of clinical safety and risk management for artificial intelligence solutions.
Readings
Obvezna:
• Funmilola Lawal, 2025. The Role of Artificial Intelligence (AI) in Transforming Nursing Care: Advancing Patient Care and Workflows, Enhancing Efficiency, Accuracy, and Compassion in HealthCare. ISBN: 979-8312233353
Dodatna literatura:
• GOSAK, Lucija, ŠTIGLIC, Gregor, PRUINELLI, Lisiane, VRBNJAK, Dominika. PICOT questions and search strategies formulation: a novel approach using artificial intelligence automation. Journal of nursing scholarship. Jan. 2025, vol. 57, issue 1, str. 5-16, tabele, graf. prikazi. ISSN 1547-5069. https://sigmapubs.onlinelibrary.wiley.com/doi/epdf/10.1111/jnu.13036, https://sigmapubs.onlinelibrary.wiley.com/journal/15475069, Digitalna knjižnica Univerze v Mariboru – DKUM, DOI: 10.1111/jnu.13036.
• GOSAK, Lucija, PRUINELLI, Lisiane, TOPAZ, Maxim, ŠTIGLIC, Gregor. The ChatGPT effect and transforming nursing education with generative AI : discussion paper. Nurse education in practice. 2024, vol. 75, [article no.] 103888, str. 1-6, ilustr. ISSN 1873-5223. https://www.sciencedirect.com/science/article/pii/S1471595324000179, DOI: 10.1016/j.nepr.2024.103888.
• GOSAK, Lucija, SVENŠEK, Adrijana, LORBER, Mateja, ŠTIGLIC, Gregor. Artificial intelligence based prediction of diabetic foot risk in patients with diabetes : a literature review. Applied sciences. 2023, vol. 13, iss. 5, [article no.] 2823, str. 1-13, tabele, graf. prikazi. ISSN 2076-3417. https://www.mdpi.com/2076-3417/13/5/2823/htm, Digitalna knjižnica Univerze v Mariboru – DKUM, DOI: 10.3390/app13052823.
